Prediction of network traffic in wireless mesh networks using hybrid deep learning model

S Mahajan, R HariKrishnan, K Kotecha - IEEE Access, 2022 - ieeexplore.ieee.org
Wireless mesh networks are getting adopted in the domain of network communication. Their
main benefits include adaptability, configuration, and flexibility, with added efficiency in cost …

Network traffic prediction based on deep belief network in wireless mesh backbone networks

L Nie, D Jiang, S Yu, H Song - 2017 IEEE Wireless …, 2017 - ieeexplore.ieee.org
Wireless mesh network is prevalent for providing a decentralized access for users. For a
wireless mesh backbone network, it has obtained extensive attention because of its large …

Network traffic prediction based on deep belief network and spatiotemporal compressive sensing in wireless mesh backbone networks

L Nie, X Wang, L Wan, S Yu, H Song… - … and Mobile Computing, 2018 - Wiley Online Library
Wireless mesh network is prevalent for providing a decentralized access for users and other
intelligent devices. Meanwhile, it can be employed as the infrastructure of the last few miles …

[PDF][PDF] Prediction of data traffic in telecom networks based on deep neural networks

QH Do, TTH Doan, TVA Nguyen, NT Duong… - Journal of computer …, 2020 - academia.edu
Accurate prediction of data traffic in telecom network is a challenging task for a better
network management. It advances dynamic resource allocation and power management …

Neural network based traffic prediction for wireless data networks

Gowrishankar, PS Satyanarayana - International Journal of …, 2008 - Taylor & Francis
In a wireless network environment accurate and timely estimation or prediction of network
traffic has gained much importance in the recent past. The network applications use traffic …

Deep learning for IoT traffic prediction based on edge computing

AR Abdellah, V Artem, A Muthanna… - … , DCCN 2020, Moscow …, 2020 - Springer
The 5G network is the latest wireless mobile communication technology. Nowadays, the
emerging of many network applications has led to a massive amount of network traffic. Many …

Delay prediction in IoT using machine learning approach

AR Abdellah, OA Mahmood… - 2020 12th International …, 2020 - ieeexplore.ieee.org
The combination of 5G, artificial intelligence, and the Internet of Things will have a great
impact on future generations of wireless networks. Internet of Things (IoT) is expected to …

Accurate load prediction algorithms assisted with machine learning for network traffic

Y Gao, M Zhang, J Chen, J Han, D Li… - … and Mobile Computing …, 2021 - ieeexplore.ieee.org
With the increasingly higher demand on radio access networks, problems such as serious
energy consumption and network load imbalance have aroused, catching more attention …

Short term prediction of wireless traffic based on tensor decomposition and recurrent neural network

T Deng, M Wan, K Shi, L Zhu, X Wang, X Jiang - SN Applied Sciences, 2021 - Springer
This paper proposes a wireless network traffic prediction model based on Bayesian
Gaussian tensor decomposition and recurrent neural network with rectified linear unit …

An intelligent traffic prediction framework for 5G network using SDN and fusion learning

KT Selvi, R Thamilselvan - Peer-to-Peer Networking and Applications, 2022 - Springer
Traffic prediction and analysis is an important part of traffic engineering in Software Defined
Networking (SDN). Effective forecasting of network traffic needs the composition of capturing …